Multi-objective Deep Reinforcement Learning for Mobile Edge Computing-Reference-Cited by-同舟云学术

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Multi-objective Deep Reinforcement Learning for Mobile Edge Computing

Published:2023-08-24 Issue: Volume: Page:
ISSN:
Container-title:2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
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Author:

Yang Ning¹,Wen Junrui¹,Zhang Meng²,Tang Ming³

Affiliation:

1. Institute of Automation Chinese Academy of Sciences,Beijing,China,100190

2. ZJU-UIUC Institute, Zhejiang University,Zhejing,China,314499

3. Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10349702/10349703/10349870.pdf?arnumber=10349870

Reference25 articles.

1. Mobile Edge Computing: A Survey on Architecture and Computation Offloading

2. Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices

3. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

4. Deep reinforcement learning based computation offloading and resource allocation for MEC

5. Playing atari with deep reinforcement learning;Mnih;arXiv preprint,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Edge-Cloud Server Selection: A Multi-Objective Deep Reinforcement Learning Approach;2024 IEEE Cloud Summit;2024-06-27

2. Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning;PeerJ Computer Science;2024-04-30

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